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Model | Centre | Description |
|---|---|---|
EC-Earth3 | EC Earth Consortium | The model used in climate research named EC Earth 3.3, released in 2019, includes the components:
The model was run in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km. |
CMCC-CM2-SR5 | The Euro-Mediterranean Center on Climate Change (Centro Euro-Mediterraneo per I Cambiamenti Climatici, CMCC) | The model used in climate research named CMCC-CM2-SR5, released in 2016, includes the components:
The model was run in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km. |
MPI-ESM1-2-HR | The German Weather Service (Deutscher Wetterdienst, DWD) / Max Planck Institute for Meteorology (MPI-M) | The model used in climate research named MPI-ESM1.2-HR, released in 2017, includes the components:
The model was run in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km. |
MPI-ESM1-2-LR | The German Weather Service (Deutscher Wetterdienst, DWD) / Max Planck Institute for Meteorology (MPI-M) | The model used in climate research named MPI-ESM1.2-LR, released in 2017, includes the components:
The model was run in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: none, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km. https://www.wdc-climate.de/ui/cmip6?input=CMIP6.DCPP.MPI-M.MPI-ESM1-2-LR |
HadGEM3-GC31-MM | Met Office Hadley Centre (MOHC) | The model used in climate research named HadGEM3-GC3.1-N216ORCA025, released in 2016, includes the components:
The model was run in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km. |
Practical details of the published data
In the table below some practical details of the data is shown including the base year (start year) period covered and the number of ensemble members. For each start year there are 10 years of corresponding hindcast or forecast data available. Hindcast and forecast start years are not distinguished in the CDS form. Please note that the ensemble members are not available individually, but they are concatenated into one file while the data is downloaded, and generally users are encouraged to use all members instead of selecting one member of the predictions.
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Start-Date Ensembles
The DCPP experiments published in the CDS, are a suite of overlapping simulations that are initialised every year throughout the duration of the start-date range specified by the experiment. The simulations begin in November to allow for DJF (December, January, February) seasonal averages to be calculated. There are 10 (16) simulations (ensemble members) for each start-date (called "Base year" in the CDS form).
The start-date ensemble is reflected in the DCPP data naming convention with the addition of a s<yyyy> start-date ensemble identifier ahead of the conventional CMIP6 ripf ensemble identifiers. For example, a simulation with a start year of 2014 will have the start-date ensemble identifier s2014, and a full ensemble identifier that follows the pattern s2014-r<W>i<X>p<Y>f<Z> where W, X, Y and Z are positive integers.
See some more more details in the "In-file metadata modifications" section below.
Practical details of the published data
In the table below some practical details of the data is shown including the base year (or start year) period covered and the number of ensemble members. For each start year there are (at least) 10 years of corresponding hindcast or forecast data available. Hindcast and forecast start years are not distinguished in the CDS form. Please note that the ensemble members are not available individually, but they are concatenated into one file while the data is downloaded, and generally users are encouraged to use all members instead of selecting one member of the predictions.
| Hindcast start years* | Forecast start years* | Ensemble members | Nominal resolution | |
|---|---|---|---|---|
| CMCC (Italy) | 1960 -2018 | 2019 - 2020 | 10 | 100 km |
| HadGEM3 (UK) | 1960 - 2018 | 2019 - 2020 | 10 | 100 km |
| EC-EARTH (Europe) | 1960 - 2018 | 2019 - 2020 | 10 | 100 km |
| MPI-ESM1-2-HR (Germany) | 1960 - 2018 | 2019 | 10 | 100 km |
| MPI-ESM1-2-LR (Germany) | 1960 - 2018 | 2019 - 2021 | 21 | 250 km |
*Note: Since hindcast and forecast data begins in November, the actual period the data covers only includes the November and December for a given start year, and the last year excludes November and December. For example, for the 1960 start year, 1960 includes November and December, 1961 - 1970 have full coverage, and 1971 covers January to October.
*Note: Since hindcast and forecast data begins in November, the actual period the data covers only includes the November and December for a given start year, and the last year excludes November and December. For example, for the 1960 start year, 1960 includes November and December, 1961 - 1970 have full coverage, and 1971 covers January to October.
Start-Date Ensembles
The DCPP experiments published in the CDS, are a suite of overlapping simulations that are initialised every year throughout the duration of the start-date range specified by the experiment. The simulations begin in November to allow for DJF (December, January, February) seasonal averages to be calculated. There are 10 (16) simulations (ensemble members) for each start-date (called "Base year" in the CDS form).
The start-date ensemble is reflected in the DCPP data naming convention with the addition of a s<yyyy> start-date ensemble identifier ahead of the conventional CMIP6 ripf ensemble identifiers. For example, a simulation with a start year of 2014 will have the start-date ensemble identifier s2014, and a full ensemble identifier that follows the pattern s2014-r<W>i<X>p<Y>f<Z> where W, X, Y and Z are positive integers.
See some more more details in the "In-file metadata modifications" section below.
Parameter listings
Data for the dcppA-hindcast experiments and the dcppB-forecast experiments will include parameters at monthly and daily resolution as described in the tables below. The parameter descriptions presented here are harvested from the CMIP6 Data Request via the CLIPC variable browser.
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